AI prompts for user research, wireframe specs, design systems, and usability testing.
Include specific user context and product details for more useful design recommendations
Ask for accessibility considerations in every design prompt by default
Request both desktop and mobile specifications for responsive designs
Use AI to generate test scripts and research plans, then refine with domain expertise
Ask for edge cases and error states — these are often overlooked in initial designs
Create detailed user personas from research data and interviews
Generate usability test plans and task scenarios quickly
Document design system components with all states and variants
Map user journeys with emotional high/low points
Prepare stakeholder presentations with clear design rationale
No — AI can help structure research plans and analyze patterns, but it can't observe real users, empathize with their struggles, or capture the nuanced insights that come from watching someone actually use your product. AI assists the process; researchers provide the insight.
UX designers use AI for: generating wireframe specifications, creating user personas, drafting usability test scripts, documenting design systems, writing UX copy, and preparing stakeholder presentations. It handles the documentation so designers can focus on creative problem-solving.
Use AI to explore options and challenge assumptions, but ground every design decision in user research and data. AI can suggest common patterns, but the right solution depends on your specific users, context, and business goals that AI doesn't fully understand.
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